People Analytics: which metrics strategic HR should track

1. Choose metrics linked to real questions

An initial set can track attraction, retention, experience and development. You do not need to measure everything at once. Choose a few metrics with reliable data and someone responsible for interpreting them and taking action.

• Retention: departures by reason and tenure.
• Attraction: time to fill vacancies and withdrawals at each stage.
• Onboarding: follow-up during the first months and clarity about the role.
• Experience: participation and favorability in workplace climate surveys.
• Development: implementation of individual development plans and application of competencies in everyday work.

2. Write a definition for each measure

A metric specification should record its question, formula, source, frequency and owner. For time to fill a vacancy, for example, define whether counting starts with vacancy approval and ends with offer acceptance or the employee's start date. Both measures can be useful, but they are not equivalent.

In workplace climate surveys, distinguish participation from favorability. The first shows how many people responded relative to those invited. The second depends on the scale and the responses considered favorable. Keep criteria consistent and document questionnaire changes before comparing periods.

3. Examine segments and interpret them in context

Overall averages can hide differences across departments or stages of the employee journey. Analyze groups relevant to the decision, but avoid small segments that expose individuals or lead to weak interpretations. Restrict access to detailed data and use aggregated information in group discussions.

A metric describes a situation; it does not explain its cause by itself. Higher turnover in one department may coincide with role, market or leadership changes. An investigation must combine history, context and listening before assigning responsibility.

4. Turn the dashboard into a decision-making routine

In each meeting, select a question, present the trend and record what is still unknown. Define a working hypothesis, a proportionate action and a review date. This prevents the dashboard from becoming just another report sent by email.

Imagine a department has more early departures. The next step could be to review vacancy expectations and speak with recent hires. The team then tests structured onboarding and tracks its implementation. The metric guides the investigation; it does not replace conversations with people.

5. Start with a data foundation you can sustain

A well-defined spreadsheet can be more useful than a complex tool updated irregularly. Before investing in automation, check duplicates, dates, categories and ownership. Consider which information is necessary for the work's purpose and avoid collecting data without a clear question.

R2M uses strategic interpretation of indicators and diagnoses to support management priorities. The starting point is understanding the challenge and the quality of available data, connecting People Analytics with HR and leadership practices.